Senior Engineer, AIML Platform Architect
Tasks
- Build AI model gateways
- Build identity and access integration services
- Create automated model evaluation frameworks
- Define security governance platform standards
- Design enterprise AI platform
- Design multi cloud and multi region integrations
- Develop reusable platform APIs and SDKs
- Evolve enterprise AI capabilities
- Implement IAM audit logging access control and policy enforcement
- Implement MLOps and LLMOps lifecycle management
- Implement enterprise observability for AI systems
- Implement platform CI/CD pipelines
- Lead technical design reviews and mentoring
- Perform root cause analysis and troubleshooting
- Provide production support and incident triage
- Standardize deployment and promotion patterns
Perks/Benefits
- N/A
Skills/Tech-stack
API Integration | AWS | Audit Logging | Azure | By Design | CI/CD | Deployment Automation | ECS | EKS | Evaluation | FinOps | GenAI | Governance | IAM | Kubernetes | LLMOps | Langchain | Langgraph | Lifecycle Management | MLOps | Model Context Protocol | Model Lifecycle | Model Lifecycle Management | Monitoring | Multicloud | Observability | Python | RAG | Responsible AI | Rollback | Security by design | Snowflake | Snowflake Cortex | Vector Databases
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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